Get Decision Science for Housing and Community Development: PDF

By Michael P. Johnson, Jeffrey M. Keisler, Senay Solak, David A. Turcotte, Armagan Bayram, Rachel Bogardus Drew

ISBN-10: 1118974999

ISBN-13: 9781118974995

A multidisciplinary method of problem-solving in community-based businesses utilizing determination versions and operations learn applications

A complete therapy of public-sector operations learn and administration technological know-how, Decision technology for Housing and neighborhood improvement: Localized and Evidence-Based Responses to troubled Housing and Blighted groups addresses serious difficulties in city housing and neighborhood improvement via a various set of choice versions and purposes. The publication represents a bridge among concept and perform and is a resource of collaboration among selection and information scientists and planners, advocates, and neighborhood practitioners.

The booklet is prompted by means of the wishes of community-based firms to answer local financial and social misery, represented by means of foreclosed, deserted, and blighted housing, via group organizing, provider provision, and native improvement. The ebook emphasizes analytic methods that bring up the power of neighborhood practitioners to behave quick, thoughtfully, and successfully. by means of doing so, practitioners can layout and enforce responses that mirror stakeholder values linked to fit and sustainable groups; that reap the benefits of elevated organizational capability for evidence-based responses; and that lead to options that signify advancements over the established order in response to a number of social end result measures. that includes quantitative and qualitative analytic tools in addition to prescriptive and exploratory choice modeling, the publication additionally includes:

  • Discussions of the rules of selection concept and descriptive research to explain how one can determine and quantify values and targets for group development
  • Mathematical programming functions for real-world challenge fixing in foreclosed housing acquisition and redevelopment
  • Applications of case reviews and community-engaged study rules to analytics and choice modeling

Decision technological know-how for Housing and neighborhood improvement: Localized and Evidence-Based Responses to troubled Housing and Blighted groups is an amazing textbook for upper-undergraduate and graduate-level classes in determination types and functions; humanitarian logistics; nonprofit operations administration; city operations examine; public economics; functionality administration; city reports; public coverage; city and local making plans; and platforms layout and optimization. The ebook can also be a great reference for teachers, researchers, and practitioners in operations learn, administration technological know-how, operations administration, structures engineering, coverage research, urban making plans, and information analytics.


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Extra info for Decision Science for Housing and Community Development: Localized and Evidence-Based Responses to Distressed Housing and Blighted Communities

Example text

Department of the Treasury, 2014). 93 billion in Phase 2, starting 2010; and $1 billion in Phase 3, starting 2011 (Shelterforce, 2010; Nickerson, 2010). The Dodd–Frank Wall Street Reform and Consumer Protection Act (Dodd-Frank Act, 2010) introduced new restrictions on mortgage marketing activities intended to reduce the incidence of fraud and reckless lending to sometimes unqualified home buyers (Couch, 2013). COMMUNITY-BASED OPERATIONS RESEARCH 13 The private market, state and local governments, and nonprofit organizations have also responded to the foreclosure crisis.

They may have missions that encompass housing, economic development, arts and culture, and community engagement, among many others. Through engagement with experts in decision sciences, these organizations are likely to demonstrate an increased awareness of localized problems whose solution exceeds their expertise and resources; a deeper understanding of the ways that data can enable them to identify objectives for action that are best aligned with their missions and measure their progress in achieving these objectives; and an increased ability to formulate and solve decision problems that allow them to choose between alternative courses of action while making best use of limited resources.

It has since branched out to address issues such as public safety, community planning, and environmental justice through the lens of community economic development, leadership development and collaboration, and youth opportunities and development (Dudley Street Neighborhood Initiative, 2014). DSNI’s success has served as a model for comprehensive community development initiatives across the United States (von Hoffman, 2012). The Purpose Built Communities program in Atlanta’s East Lake neighborhood provides affordable housing development, community engagement, and education and early learning programs (East Lake Foundation, 2014).

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Decision Science for Housing and Community Development: Localized and Evidence-Based Responses to Distressed Housing and Blighted Communities by Michael P. Johnson, Jeffrey M. Keisler, Senay Solak, David A. Turcotte, Armagan Bayram, Rachel Bogardus Drew

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